parse.transform.matrix.lines

Parse matrix from text file lines.

internal

Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' <http://freesurfer.net/> formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file format. Contains a brain surface mesh, given by a list of vertices and a list of faces.

Tim Schc3<a4>fer

freesurferformats

Read and Write 'FreeSurfer' Neuroimaging File Formats

Tim Schäfer

parse.transform.matrix.lines function

<dl><dt>file_lines</dt>
<dd>vector of 3 character strings, the matrix lines. The separator is assumed to be a single space.</dd>
<dt>ignore_line_suffix</dt>
<dd>character string, a line suffix that will be stripped from the end of each line if it exists.</dd></dl>

Arguments

Parse matrix from text file lines. — parse.transform.matrix.lines

<dl>

<dt>file_lines</dt>
<dd>vector of 3 character strings, the matrix lines. The separator is assumed to be a single space.</dd>


<dt>ignore_line_suffix</dt>
<dd>character string, a line suffix that will be stripped from the end of each line if it exists.</dd>

</dl>

parse.transform.matrix.lines: Parse matrix from text file lines.

Description

Usage

Value

Arguments